Global Journal of Engineering and Technology Research (GJETR)
Optimizing Renewable Energy Integration in Microgrids Using Hybrid Energy Storage Systems
Dr. Srinivasa Rao Balasani
20 July 2025 · Vol. 1, Issue 1, pp. 15-23
DOI: 10.65150/EP-gjetr/V1E1/2025-A003
Abstract
The rapid acceleration of climate change and the global shift towards sustainable energy systems have catalyzed the integration of renewable energy sources (RES) into decentralized microgrid architectures. However, the inherent intermittency of solar, wind, and other green energy sources poses significant challenges to maintaining power quality, frequency stability, and load reliability in real-time operations. These limitations necessitate advanced storage strategies capable of adapting to the dynamic behavior of distributed generation. This research paper delves into the optimization of renewable energy integration using Hybrid Energy Storage Systems (HESS), a combination of two or more energy storage technologies that synergize to offset the weaknesses of individual systems. In this study, lithium-ion batteries and supercapacitors are integrated within a smart microgrid model to analyze their performance in various operational scenarios. Through simulation models developed in MATLAB/Simulink and an in-depth case study in a remote Indian village, the research demonstrates that HESS outperforms conventional single-source storage systems in terms of energy efficiency, cost-effectiveness, and grid stability. The paper concludes with recommendations for scaling HESS in future energy infrastructures.
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Cite this article
Dr. Srinivasa Rao Balasani (2025). Optimizing Renewable Energy Integration in Microgrids Using Hybrid Energy Storage Systems. Global Journal of Engineering and Technology Research, 1(1), 15-23. https://doi.org/10.65150/EP-gjetr/V1E1/2025-A003
@article{Dr2025,
title = {Optimizing Renewable Energy Integration in Microgrids Using Hybrid Energy Storage Systems},
author = {Dr. Srinivasa Rao Balasani},
journal = {Global Journal of Engineering and Technology Research},
year = {2025},
volume = {1},
number = {1},
pages = {15-23},
doi = {10.65150/EP-gjetr/V1E1/2025-A003},
url = {https://doi.org/10.65150/EP-gjetr/V1E1/2025-A003}
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